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Cloud Native Python
Cloud Native Python

Cloud Native Python: Build and deploy resilent applications on the cloud using microservices, AWS, Azure and more

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Cloud Native Python

Building Microservices in Python

Now, since you understand what microservices are and, hopefully, have a sense of their key benefits, I'm sure you are eager to begin building them. In this chapter, we will immediately start writing REST APIs, which collectively work as microservices.

The topics we will cover in this chapter are as follows:

  • Building a REST API
  • Testing an API

Python concepts

Let's first understand a few concepts of Python, which we will use in this book.

Modules

A module basically allows you to logically organize your programming code. It is similar to any other Python program. They are needed in scenarios where we need only a bit of code to be imported instead of the entire program. A module can be a combination of one or multiple functions classes, and many more. We will use a couple of inbuilt functions, which are a part of the Python library. Also, wherever needed, we will create our own modules.

The following example code showcases the structure of modules:

    #myprogram.py 
    ### EXAMPLE PYTHON MODULE
# Define some variables:
numberone = 1
age = 78

# define...

Modeling microservices

In this book, we will develop a full-fledged working web app that works independently.

Now, since we have a basic understanding of Python, let's get started with modeling our microservices and understanding the application workflow.

The following diagram shows the microservices architecture and application workflow:

Building microservices

In this book, we will use Flask as a web framework to build our microservices. Flask is a powerful web framework, which is easy to learn and simple to use. Additionally, in Flask, we need a little boilerplate code to get a simple app up and running.

Since we will create our application using the twelve-factor app concept, we will begin by ensuring that we have a centralized code base. By now, you should know how to create a GitHub repository. If not, make sure you create it as per the blogpost link provided in Chapter 1, Introducing Cloud Native Architecture and Microservices. We will be pushing the code regularly to the repository.

Assuming you have created the repository during the course of this book, we will use the GitHub repository (https://github.com/PacktPublishing/Cloud-Native-Python.git).

So, let's set up our local directory in sync with the...

Testing the RESTful API

So far, we have been building the RESTful API and hitting the URL for the root URL to see the response and to understand whether the different methods are working properly in the backend or not. Since it's new code, everything should be tested 100% to make sure it works fine in the production environment. In this section, we will write the test cases, which should work individually, and also as a system, to make sure that the complete backend service is good to go for production.

There are different types of testing, which are defined as follows:

  • Functional testing: This is basically used to test the functionality of a component or a system. We do this test against the functional specification of a component.
  • Non-function testing: This kind of testing is done against the quality characteristics of a component, which includes efficiency testing, reliability...

Summary

In this chapter, we focused on writing lots of code to build our microservices. We basically got an understanding of how the RESTful APIs work. We also saw how we can extend these APIs and make sure that we understand the HTTP response by the response given by these APIs. Moreover, you learned how to write test cases, which are most important to ensure that our code works well and is good to go for the production environment.

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Key benefits

  • ? This is the only reliable resource that showcases the tools and techniques you need build robust and resilient cloud native applications in Python
  • ? Learn how to architect your application on both, the AWS and Azure clouds for high availability
  • ? Assess, monitor, and troubleshoot your applications in the cloud

Description

Businesses today are evolving so rapidly that having their own infrastructure to support their expansion is not feasible. As a result, they have been resorting to the elasticity of the cloud to provide a platform to build and deploy their highly scalable applications. This book will be the one stop for you to learn all about building cloud-native architectures in Python. It will begin by introducing you to cloud-native architecture and will help break it down for you. Then you’ll learn how to build microservices in Python using REST APIs in an event driven approach and you will build the web layer. Next, you’ll learn about Interacting data services and building Web views with React, after which we will take a detailed look at application security and performance. Then, you’ll also learn how to Dockerize your services. And finally, you’ll learn how to deploy the application on the AWS and Azure platforms. We will end the book by discussing some concepts and techniques around troubleshooting problems that might occur with your applications after you’ve deployed them. This book will teach you how to craft applications that are built as small standard units, using all the proven best practices and avoiding the usual traps. It's a practical book: we're going to build everything using Python 3 and its amazing tooling ecosystem. The book will take you on a journey, the destination of which, is the creation of a complete Python application based on microservices over the cloud platform

Who is this book for?

This book is ideal for developers with a basic knowledge of Python who want to learn to build, test, and scale their Python-based applications. No prior experience of writing microservices in Python is required.

What you will learn

  • • Get to know “the way of the cloud”, including why developing good cloud software is fundamentally about mindset and discipline
  • • Know what microservices are and how to design them
  • • Create reactive applications in the cloud with third-party messaging providers
  • • Build massive-scale, user-friendly GUIs with React and Flux
  • • Secure cloud-based web applications: the do's, don'ts, and options
  • • Plan cloud apps that support continuous delivery and deployment
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Table of Contents

13 Chapters
Introducing Cloud Native Architecture and Microservices Chevron down icon Chevron up icon
Building Microservices in Python Chevron down icon Chevron up icon
Building a Web Application in Python Chevron down icon Chevron up icon
Interacting Data Services Chevron down icon Chevron up icon
Building WebViews with React Chevron down icon Chevron up icon
Creating UIs to Scale with Flux Chevron down icon Chevron up icon
Learning Event Sourcing and CQRS Chevron down icon Chevron up icon
Securing the Web Application Chevron down icon Chevron up icon
Continuous Delivery Chevron down icon Chevron up icon
Dockerizing Your Services Chevron down icon Chevron up icon
Deploying on the AWS Platform Chevron down icon Chevron up icon
Implementing on the Azure Platform Chevron down icon Chevron up icon
Monitoring the Cloud Application Chevron down icon Chevron up icon

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.9
(7 Ratings)
5 star 71.4%
4 star 0%
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2 star 0%
1 star 28.6%
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V.Ramachandran Dec 18, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Excellent book in proper time
Amazon Verified review Amazon
Amazon Customer Sep 05, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The book has clear steps to learn python automation. Best book to learn automation in cloud infrastructure.
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book_buff Aug 22, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
A good practical book. It covers both basic as well as advanced techniques. CORS, event sourcing and CQRS, practical deployment to Docker/Swarm or AWS, Azure etc. Plus a collection of well-known (React.js) as wellas little known (Knockout.js) libraries/tools. Definitely stands out among practical books. I am waiting for the next book from Manish. He gives you value.
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Amazon Customer Aug 17, 2017
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Great book for any new or experienced Cloud professional, especially when you prefer Python
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Munikumar Aug 22, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Very good book for developing applications and automating your cloud-based infrastructure amd step-by-step approach clearly explaining the most efficient automation methodologies using Python. Recommended who are interested for learning Python scripting in cloud infrastructure.
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